Statistical Inference and Confidence Intervals

How can we predict what’s true for a whole population just by studying a small sample? This section introduces confidence intervals, sample size calculations, and bootstrapping methods - powerful tools that help data scientists estimate population values, quantify uncertainty, and make informed decisions using Python and inferential statistics. This text is part of the Inferential Statistics and Regression Analysis pathway.

Topics

  • research methods
  • quantitative research
  • scientific computing
  • parameter estimation
  • sample size calculation
  • bootstrapping method
  • hypothesis testing
  • population mean estimation
  • margin of error
  • statistical analysis
  • Python
  • central limit theorem
  • inferential statistics
  • confidence intervals